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Vlasova-St. Louis I, Mohei H. Molecular Diagnostics of Cryptococcus spp. and Immunomics of Cryptococcosis-Associated Immune Reconstitution Inflammatory Syndrome. Diseases 2024; 12:101. [PMID: 38785756 PMCID: PMC11120354 DOI: 10.3390/diseases12050101] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Revised: 05/05/2024] [Accepted: 05/10/2024] [Indexed: 05/25/2024] Open
Abstract
Cryptococcal infection poses a significant global public health challenge, particularly in regions near the equator. In this review, we offer a succinct exploration of the Cryptococcus spp. genome and various molecular typing methods to assess the burden and genetic diversity of cryptococcal pathogens in the environment and clinical isolates. We delve into a detailed discussion on the molecular pathogenesis and diagnosis of immune reconstitution inflammatory syndrome (IRIS) associated with cryptococcosis, with a specific emphasis on cryptococcal meningitis IRIS (CM-IRIS). Our examination includes the recent literature on CM-IRIS, covering host cellulomics, proteomics, transcriptomics, and genomics.
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Affiliation(s)
| | - Hesham Mohei
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA;
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Sepúlveda-Crespo D, Jiménez-Sousa MA, Fernández-Rodíguez A, Muñoz-Fernández MA, Jiménez JL, Caraciolo BB, Reus Bañuls S, Vilchez H, Mothe B, Martínez I, Benito JM, Rallón N, Resino S. IL7RA rs10491434 polymorphism is related to spontaneous HIV infection control in naïve HIV-infected patients: A retrospective study. J Med Virol 2023; 95:e29214. [PMID: 37927108 DOI: 10.1002/jmv.29214] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2023] [Revised: 09/12/2023] [Accepted: 10/23/2023] [Indexed: 11/07/2023]
Abstract
Interleukin 7 receptor (IL7R) is vital in the adaptive immune response against human immunodeficiency viruses (HIV). We assessed IL7RA polymorphisms (SNPs) in antiretroviral therapy (ART)-naïve HIV patients for their association with spontaneous HIV infection control. We conducted a retrospective cohort study involving 667 ART-naïve patients categorized by HIV progression (ordinal variable): 150 rapid progressors, 334 moderate/typical progressors, 86 long-term nonprogressors elite controllers (LTNPs-EC), and 97 LTNPs-non-EC. We genotyped three IL7RA SNPs using Agena Bioscience's MassARRAY platform. The association between IL7RA SNPs and spontaneous HIV infection control was evaluated using ordinal logistic regression. Individuals carrying the rs10491434 G allele have a higher likelihood of spontaneous HIV infection control (adjusted odds ratio [aOR] = 1.33; p = 0.023). Moreover, the IL7RA GCT haplotype, consisting of three specific SNPs (rs6897932, rs987106, and rs10491434), demonstrated an association with the control of untreated HIV infection (aOR = 1.34; p = 0.050). Remarkably, the rs10491434 SNP and the IL7RA GCT haplotype exhibited similar aOR values, suggesting that rs10491434 may be primarily responsible for the observed effect of the haplotype. IL7RA rs10491434 G allele is associated with a higher likelihood of spontaneous HIV infection control, indicating its significant role in the pathogenesis of HIV, possibly influencing infection course and viral replication control.
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Affiliation(s)
- Daniel Sepúlveda-Crespo
- Unidad de Infección Viral e Inmunidad, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain, Madrid, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - María A Jiménez-Sousa
- Unidad de Infección Viral e Inmunidad, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain, Madrid, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - Amanda Fernández-Rodíguez
- Unidad de Infección Viral e Inmunidad, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain, Madrid, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - María A Muñoz-Fernández
- Servicio de Inmunología, Laboratorio InmunoBiología Molecular, Hospital General Universitario Gregorio Marañón, Madrid, Spain
- Centro de Investigación Biomédica en Red de Bioingeniería, Biomateriales y Nanomedicina (CIBER-BBN), Instituto de Salud Carlos III, Madrid, Spain
- Fundación para la Investigación Biomédica, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
| | - José L Jiménez
- Fundación para la Investigación Biomédica, Hospital General Universitario Gregorio Marañón, Instituto de Investigación Sanitaria Gregorio Marañón (IiSGM), Madrid, Spain
- Plataforma de Laboratorio, Hospital General Universitario "Gregorio Marañón", Madrid, Spain
| | - Begoña B Caraciolo
- Centro Sanitario Sandoval, Instituto de Investigación Sanitaria San Carlos (IdISSC), Hospital Clínico San Carlos, Madrid, Spain
| | - Sergio Reus Bañuls
- Enfermedades Infecciosas, Hospital General Universitario Dr. Balmis de Alicante, Spain
| | - Helem Vilchez
- Unidad de Enfermedades Infecciosas, Servicio de Medicina Interna, Hospital Universitari Son Espases, Palma de Mallorca, Spain, Palma de Mallorca, Spain
| | - Beatriz Mothe
- Centro de Investigación Biomédica en Red en Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
- Unidad de Enfermedades Infecciosas, IrsiCaixa Institut de Recerca de la Sida, Hospital Universitari Germans Trias i Pujol, Badalona. Spain, Badalona, Spain
| | - Isidoro Martínez
- Unidad de Infección Viral e Inmunidad, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain, Madrid, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
| | - José M Benito
- HIV and Viral Hepatitis Research Laboratory, Instituto de Investigación Sanitaria Fundación Jiménez Díaz, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
- Hospital Universitario Rey Juan Carlos, Móstoles, Spain
| | - Norma Rallón
- HIV and Viral Hepatitis Research Laboratory, Instituto de Investigación Sanitaria Fundación Jiménez Díaz, Universidad Autónoma de Madrid (IIS-FJD, UAM), Madrid, Spain
- Hospital Universitario Rey Juan Carlos, Móstoles, Spain
| | - Salvador Resino
- Unidad de Infección Viral e Inmunidad, Centro Nacional de Microbiología, Instituto de Salud Carlos III, Madrid, Spain, Madrid, Spain
- Centro de Investigación Biomédica en Red en Enfermedades Infecciosas (CIBERINFEC), Instituto de Salud Carlos III, Madrid, Spain
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Xiao Q, Han J, Yu F, Yan L, Li Q, Lao X, Zhao H, Zhang F. Elucidating the Gene Signatures and Immune Cell Types in HIV-Infected Immunological Non-Responders by Bioinformatics Analyses. Int J Gen Med 2022; 15:8491-8507. [PMID: 36514742 PMCID: PMC9741855 DOI: 10.2147/ijgm.s390642] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2022] [Accepted: 11/29/2022] [Indexed: 12/12/2022] Open
Abstract
Objective Numerous studies have reported on the pathogenesis of poor immune reconstitution (PIR) after antiretroviral treatment in human immunodeficiency virus (HIV) patients. However, fewer studies focused on both immune-related genes (IRGs) and immune cells, and the correlation between IRGs and immune cells was evaluated via bioinformatics analyses. Methods Gene expression profiling of GSE143742 from the Gene Expression Omnibus (GEO) database was analyzed to get differentially expressed immune-related genes (DEIRGs). The enrichment analysis and protein-protein interaction (PPI) networks of DEIRGs were established. The relative fractions of 22 immune cell types were detected using the "CIBERSORT". The correlation analysis between DEIRGs and immune cells was constructed to discover the potential IRGs associated with immune cells. A logistic regression diagnostic model was built, and a receiver operating characteristic (ROC) curve was performed to evaluate the model's diagnostic efficacy. The CMap database was used to find molecules with therapeutic potential. RT-qPCR was used to verify the expression of the hub DEIRGs. Results We identified eight types of significantly changed immune cells and five hub IRGs in INRs. The DEIRGs were mainly enriched in lymphocyte activation, receptor-ligand activity, and T cell receptor signaling pathway. The correlation analysis showed that the expression of TNF, CXCR4 and TFRC correlate with CD8 cells, resting mast cells, activated NK cells, and naïve CD4 cells in INRs. Meanwhile, TFRC and IL7R relate to activated NK cells and resting memory CD4 cells respectively in IRs. A diagnostic model was constructed using multiple logistic regression and nine small molecules were identified as possible drugs. Conclusion In this study, we suggested that the process of PIR might be related to TNF, CXCR4, TFRC, CD48, and IL7R. And these IRGs play roles in regulating immune-competent cells. And our constructed diagnostic model has excellent effectiveness. Moreover, some small-molecule drugs are screened to alleviate PIR.
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Affiliation(s)
- Qing Xiao
- Department of Infectious Diseases, Capital Medical University Affiliated Beijing Ditan Hospital, Beijing, People’s Republic of China,Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Junyan Han
- Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Beijing, People’s Republic of China,National Center for Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China,Beijing Institute of Infectious Diseases, Beijing Ditan Hospital, Capital Medical University, Beijing, People’s Republic of China,Biomedical Innovation Center, Beijing Shijitan Hospital, Capital Medical University, Beijing, People’s Republic of China
| | - Fengting Yu
- Department of Infectious Diseases, Capital Medical University Affiliated Beijing Ditan Hospital, Beijing, People’s Republic of China,Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China,Beijing Key Laboratory of Emerging Infectious Diseases, Institute of Infectious Diseases, Beijing Ditan Hospital, Beijing, People’s Republic of China
| | - Liting Yan
- Department of Infectious Diseases, Capital Medical University Affiliated Beijing Ditan Hospital, Beijing, People’s Republic of China,Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Qun Li
- Department of Infectious Diseases, Capital Medical University Affiliated Beijing Ditan Hospital, Beijing, People’s Republic of China,Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Xiaojie Lao
- Department of Infectious Diseases, Capital Medical University Affiliated Beijing Ditan Hospital, Beijing, People’s Republic of China,Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Hongxin Zhao
- Department of Infectious Diseases, Capital Medical University Affiliated Beijing Ditan Hospital, Beijing, People’s Republic of China,Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China
| | - Fujie Zhang
- Department of Infectious Diseases, Capital Medical University Affiliated Beijing Ditan Hospital, Beijing, People’s Republic of China,Clinical Center for HIV/AIDS, Capital Medical University, Beijing, People’s Republic of China,Correspondence: Fujie Zhang, Beijing, Ditan Hospital, Capital Medical University, Beijing, 100015, People’s Republic of China, Tel +86 10 84322581, Email
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High circulating SDF-1and MCP-1 levels and genetic variations in CXCL12, CCL2 and CCR5: Prognostic signature of immune recovery status in treated HIV-positive patients. EBioMedicine 2020; 62:103077. [PMID: 33166788 PMCID: PMC7653063 DOI: 10.1016/j.ebiom.2020.103077] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Revised: 09/22/2020] [Accepted: 10/06/2020] [Indexed: 12/14/2022] Open
Abstract
Background The underlying mechanisms of incomplete immune reconstitution in treated HIV-positive patients are very complex and may be multifactorial, but perturbation of chemokine secretion could play a key role in CD4+T-cell turnover. Methods We evaluated the circulating baseline and 48-week follow-up concentrations of SDF-1/CXCL12, fractalkine/CX3CL1, MCP-1/CCL2, MIP-α/CCL3, MIP-β/CCL4 and RANTES/CCL5, and we estimated their association with CXCL12, CX3CR1, CCR2, CCL5 and CCR5 single nucleotide polymorphisms (SNPs) to investigate multiple chemokine-chemokine receptor signatures associated with immune dysregulation preceding poor immune recovery. Findings The circulating concentrations and gene expression patterns of SDF-1/CXCL12 (CXCL12 rs1801157) and MCP-1/CCL2 (CCR2 rs1799864_814) were associated with immune recovery status. CCR2 rs1799864_814 and CCR5 rs333_814 (Δ32) determine the baseline plasma RANTES and MIP-α concentrations, respectively, in participants with poor immune response. Interpretation SDF-1/CXCL12 and MCP-1/CCL2 could be considered prognostic markers of immune failure despite suppressive antiretroviral therapy. The strong linkage disequilibrium (LD) between CCR2 rs1799864_814 and CCR5 rs1800024 indicated that the alleles of each gene are inherited together more often than would be expected by chance. Funding This work was supported by Fondo de Investigacion Sanitaria and SPANISH AIDS Research Network (ISCIII-FEDER); AGAUR and Gilead Fellowship. FV and YMP are supported by grants from the Programa de Intensificación (ISCIII) and Servicio Andaluz de Salud, respectively. JVG,EY and LR are supported by the 10.13039/501100004587Instituto de Salud Carlos III (ISCIII). AR is supported by Departament de Salut, Generalitat de Catalunya and by the Instituto de Salud Carlos III (ISCIII).
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